The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A microfluidic platform for chemoresistive testing of multicellular pleural cancer spheroids
Open accessAbstract
This study reports on a microfluidic platform on which single multicellular spheroids from malignant pleural mesothelioma (MPM), an aggressive tumor with poor prognosis, can be loaded, trapped and tested for chemotherapeutic drug response.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Remarkably, continuously perfused spheroids exhibited higher chemoresistance to cisplatin, a drug commonly prescribed for MPM patients, when compared with spheroids cultured under static conditions.”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [20]
In the citing paper
“These authors trapped cancer spheroids derived from malignant pleural mesothelioma (MPM) cells within a “multi-S-shaped” microfluidic channel (Figure 3a) and perfused culture medium and anticancer drug formulations through this system.”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [20]
In the citing paper
“The authors observed that the spheroid morphology was similar in both the perfused and the static conditions and remained essentially unchanged during a 48-h perfusion period.”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [20]
Citations
Cites
El-Ali, J., Sorger, P. K., & Jensen, K. F. (2006) · Nature · doi:10.1038/nature05063 · Cited by 2,105
Modeling Tissue Morphogenesis and Cancer in 3D
Yamada, K. M., & Cukierman, E. (2007) · Cell · doi:10.1016/j.cell.2007.08.006 · Cited by 1,751
Multicellular tumor spheroids: An underestimated tool is catching up again
Hirschhaeuser, F., Menne, H., Dittfeld, C., West, J., Mueller-Klieser, W., & Kunz-Schughart, L. A. (2010) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2010.01.012 · Cited by 1,674
Cancer stem cell definitions and terminology: the devil is in the details
Valent, P., Bonnet, D. A., Maria, R. D., Lapidot, T., Copland, M., Melo, J. V., Chomienne, C., Ishikawa, F., Schuringa, J. J., Stassi, G., et al. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3368 · Cited by 720
Fundamentals of microfluidic cell culture in controlled microenvironments
Young, E. W. K., & Beebe, D. J. (2010) · Chemical Society Reviews · doi:10.1039/b909900j · Cited by 615
Flores, R. M., Pass, H. I., Seshan, V., Dycoco, J., Zakowski, M. F., Carbone, M., Bains, M. S., & Rusch, V. W. (2008) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2007.10.054 · Cited by 614
A trap-and-release integrated microfluidic system for dynamic microarray applications
Tan, W.-H., & Takeuchi, S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606625104 · Cited by 590
Cisplatin and DNA repair in cancer chemotherapy
Zamble, D. B., & Lippard, S. J. (1995) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(00)89095-7 · Cited by 533
Experimental anti-tumor therapy in 3-D: Spheroids – old hat or new challenge?
Friedrich, J., Ebner, R., & Kunz‐Schughart, L. A. (2007) · International Journal of Radiation Biology · doi:10.1080/09553000701727531 · Cited by 460
Paper-supported 3D cell culture for tissue-based bioassays
Derda, R., Laromaine, A., Mammoto, A., Tang, S. K. Y., Mammoto, T., Ingber, D. E., & Whitesides, G. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910666106 · Cited by 434
Flagged first, then by citations
Research works printed but not linked: 1
- Cortes-Dericks, 2010, Gene Expression, 437
Cited by
Sorted by citations
Matrigel: From discovery and ECM mimicry to assays and models for cancer research
Benton, G., Arnaoutova, I., George, J., Kleinman, H. K., & Koblinski, J. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.06.005 · Cited by 477
Challenges of applying multicellular tumor spheroids in preclinical phase
Han, S. J., Kwon, S., & Kim, K. S. (2021) · Cancer Cell International · doi:10.1186/s12935-021-01853-8 · Cited by 428
Reconfigurable microfluidic hanging drop network for multi-tissue interaction and analysis
Frey, O., Misun, P. M., Fluri, D. A., Hengstler, J. G., & Hierlemann, A. R. (2014) · Nature Communications · doi:10.1038/ncomms5250 · Cited by 389
Białkowska, K., Komorowski, P., Bryszewska, M. J., & Miłowska, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21176225 · Cited by 416
Vascularized cancer on a chip: the effect of perfusion on growth and drug delivery of tumor spheroid
Nashimoto, Y., Okada, R., Hanada, S., Arima, Y., Nishiyama, K., Miura, T., & Yokokawa, R. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2019.119547 · Cited by 332
Moshksayan, K., Kashaninejad, N., Warkiani, M. E., Lock, J. G., Moghadas, H., Firoozabadi, B., Saidi, M. S., & Nguyen, N.-T. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2018.01.223 · Cited by 267
Three-Dimensional Cell Cultures: The Bridge between In Vitro and In Vivo Models
Urzì, O., Gasparro, R., Costanzo, E., Luca, A. D., Giavaresi, G., Fontana, S., & Alessandro, R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241512046 · Cited by 263
Trujillo-de Santiago, G., Flores-Garza, B. G., Tavares-Negrete, J. A., Lara-Mayorga, I. M., González-Gamboa, I., Zhang, Y. S., Rojas-Martínez, A., Ortiz-López, R., & Álvarez, M. M. (2019) · Materials · doi:10.3390/ma12182945 · Cited by 184
“The end result is a reduction in the consumption of reagents, a higher density of cells, a higher cell to fluid ratio, and real-time control of delivery of nutrients and reagents [20,124,145,173,174].”
BackgroundMethodInfluentialMicro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy
Astolfi, M., Péant, B., Lateef, M. A., Rousset, N., Kendall-Dupont, J., Carmona, E., Monet, F., Saad, F., Provencher, D., Mes-Masson, A.-M., et al. (2016) · Lab on a Chip · doi:10.1039/c5lc01108f · Cited by 182
Tumor-Vasculature-on-a-Chip for Investigating Nanoparticle Extravasation and Tumor Accumulation
Wang, H.-F., Ran, R., Liu, Y., Hui, Y., Zeng, B., Chen, D., Weitz, D. A., & Zhao, C.-X. (2018) · ACS Nano · doi:10.1021/acsnano.8b06846 · Cited by 161
Ferreira, J. A., Peixoto, A., Neves, M., Gaiteiro, C., Reis, C. A., Assaraf, Y. G., & Santos, L. L. (2015) · Drug Resistance Updates · doi:10.1016/j.drup.2015.11.003 · Cited by 164
Mulholland, T., McAllister, M. J., Patek, S., Flint, D., Underwood, M., Sim, A., Edwards, J., & Zagnoni, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-33055-0 · Cited by 132
Microfluidic Technology for the Generation of Cell Spheroids and Their Applications
Vadivelu, R. K., Kamble, H., Shiddiky, M. J. A., & Nguyen, N. (2017) · Micromachines · doi:10.3390/mi8040094 · Cited by 138
Cancer-on-a-chip systems at the frontier of nanomedicine
Zhang, Y. S., Zhang, Y.-N., & Zhang, W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.03.011 · Cited by 127
Ruppen, J., Wildhaber, F. D., Strub, C., Hall, S. R. R., Schmid, R. A., Geiser, T., & Guenat, O. T. (2015) · Lab on a Chip · doi:10.1039/c5lc00454c · Cited by 129
Self-citation3D spherical microtissues and microfluidic technology for multi-tissue experiments and analysis
Kim, J.-Y., Fluri, D. A., Marchan, R., Boonen, K., Mohanty, S., Singh, P., Hammad, S., Landuyt, B., Hengstler, J. G., Kelm, J. M., et al. (2015) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2015.01.003 · Cited by 126
Barata, D. B., van Blitterswijk, C., & Habibović, P. (2015) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.09.009 · Cited by 128
Chen, Y., Gao, D., Liu, H., Lin, S., & Jiang, Y. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.10.006 · Cited by 123
From 2D to 3D Cancer Cell Models—The Enigmas of Drug Delivery Research
Zundert, I. V., Fortuni, B., & Rocha, S. (2020) · Nanomaterials · doi:10.3390/nano10112236 · Cited by 118
Advancements in 3D Cell Culture Systems for Personalizing Anti-Cancer Therapies
Law, A. M. K., de la Fuente, L. R., Grundy, T. J., Fang, G., Valdés‐Mora, F., & Gallego‐Ortega, D. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.782766 · Cited by 108
Accessing 3D microtissue metabolism: Lactate and oxygen monitoring in hepatocyte spheroids
Weltin, A., Hammer, S., Noor, F., Kaminski, Y., Kieninger, J., & Urban, G. A. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.07.094 · Cited by 106
Automated evaluation of tumor spheroid behavior in 3D culture using deep learning-based recognition
Chen, Z., Ma, N., Sun, X., Li, Q., Zeng, Y., Chen, F., Sun, S., Xu, J., Zhang, J., Ye, H., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120770 · Cited by 96
Yamada, M., Hori, A., Sugaya, S., Yajima, Y., Utoh, R., Yamato, M., & Seki, M. (2015) · Lab on a Chip · doi:10.1039/c5lc00785b · Cited by 96
Peela, N., Truong, D. D., Saini, H., Chu, H., Mashaghi, S., Ham, S. L., Singh, S. K., Tavana, H., Mosadegh, B., & Nikkhah, M. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.04.017 · Cited by 97
Occhetta, P., Centola, M., Tonnarelli, B., Redaelli, A. C. L., Martín, I., & Rasponi, M. (2015) · Scientific Reports · doi:10.1038/srep10288 · Cited by 87
In vitromicrofluidic models of tumor microenvironment to screen transport of drugs and nanoparticles
Özçelikkale, A., Moon, H., Linnes, M. P., & Han, B. (2017) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1460 · Cited by 89
Dhiman, N., Kingshott, P., Sümer, H., Sharma, C. S., & Rath, S. N. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.02.070 · Cited by 89
Eilenberger, C., Rothbauer, M., Selinger, F., Gerhartl, A., Jordan, C., Harasek, M., Schädl, B., Grillari, J., Weghuber, J., Neuhaus, W., et al. (2021) · Advanced Science · doi:10.1002/advs.202004856 · Cited by 86
Lim, J., Ching, H., Yoon, J., Jeon, N. L., & Kim, Y. (2021) · Nano Convergence · doi:10.1186/s40580-021-00261-y · Cited by 85
Point-, line-, and plane-shaped cellular constructs for 3D tissue assembly
Morimoto, Y., Hsiao, A. Y., & Takeuchi, S. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.09.003 · Cited by 74
Kim, J., Fluri, D. A., Kelm, J. M., Hierlemann, A. R., & Frey, O. (2014) · SLAS TECHNOLOGY · doi:10.1177/2211068214564056 · Cited by 73
Alginate core-shell beads for simplified three-dimensional tumor spheroid culture and drug screening
Yu, L., Ni, C., Grist, S. M., Bayly, C. L., & Cheung, K. C. (2015) · Biomedical Microdevices · doi:10.1007/s10544-014-9918-5 · Cited by 70
Electrical Impedance Spectroscopy for Microtissue Spheroid Analysis in Hanging-Drop Networks
Schmid, Y. R. F., Bürgel, S. C., Misun, P. M., Hierlemann, A. R., & Frey, O. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00272 · Cited by 63
Microdissected “cuboids” for microfluidic drug testing of intact tissues
Horowitz, L. F., Rodriguez, A. D., Au-Yeung, A., Bishop, K. W., Barner, L. A., Mishra, G., Raman, A., Delgado, P., Liu, J. T. C., Gujral, T. S., et al. (2021) · Lab on a Chip · doi:10.1039/d0lc00801j · Cited by 62
3D Tumor Spheroid and Organoid to Model Tumor Microenvironment for Cancer Immunotherapy
Zhu, Y., Kang, E., Wilson, M., Basso, T., Chen, E., Yu, Y., & Li, Y.-R. (2022) · Organoids · doi:10.3390/organoids1020012 · Cited by 63
Żuchowska, A., Jastrzębska, E., Chudy, M., Dybko, A., & Brzózka, Z. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.07.009 · Cited by 57
Microfluidic-Based Multi-Organ Platforms for Drug Discovery
Kolahchi, A. R., Mohtaram, N. K., Modarres, H. P., Mohammadi, M., Geraili, A., Jafari, P., Akbari, M., & Sanati‐Nezhad, A. (2016) · Micromachines · doi:10.3390/mi7090162 · Cited by 58
A Dynamic Hanging-Drop System for Mesenchymal Stem Cell Culture
Huang, S.-W., Tzeng, S., Chen, J.-K., Sun, J., & Lin, F. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124298 · Cited by 57
Bourn, M. D., Batchelor, D. V. B., Ingram, N., McLaughlan, J. R., Coletta, P. L., Evans, S. D., & Peyman, S. A. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.06.011 · Cited by 54
High Content Imaging (HCI) on Miniaturized Three-Dimensional (3D) Cell Cultures
Joshi, P., & Lee, M. (2015) · Biosensors · doi:10.3390/bios5040768 · Cited by 55
3D modeling of cancer stem cell niche
He, J., Xiong, L., Li, Q., Lin, L., Miao, X., Yan, S., Hong, Z., Yang, L., Wen, Y., & Deng, X. (2017) · Oncotarget · doi:10.18632/oncotarget.19847 · Cited by 59
Applicability of tumor spheroids forin vitrochemosensitivity assays
Hamilton, G., & Rath, B. (2018) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1080/17425255.2019.1554055 · Cited by 50
Fabrication of Cell Spheroids for 3D Cell Culture and Biomedical Applications
Park, S. Y., Hong, H. J., & Lee, H. J. (2022) · BioChip Journal · doi:10.1007/s13206-022-00086-9 · Cited by 50
Khot, M. I., Levenstein, M. A., de Boer, G., Armstrong, G., Maisey, T. I., Svavarsdottir, H. S., Andrew, H., Perry, S., Kapur, N., & Jayne, D. G. (2020) · Scientific Reports · doi:10.1038/s41598-020-72952-1 · Cited by 47
Zhou, K., Dey, M., Ayan, B., Zhang, Z., Özbolat, V., Kim, M.-H., Khristov, V., & Ozbolat, I. T. (2021) · Biomedical Materials · doi:10.1088/1748-605x/abe55e · Cited by 41
Review: 3D cell models for organ-on-a-chip applications
Żuchowska, A., Baranowska, P., Flont, M., Brzózka, Z., & Jastrzębska, E. (2024) · Analytica Chimica Acta · doi:10.1016/j.aca.2024.342413 · Cited by 39
A planar impedance sensor for 3D spheroids
Curto, V. F., Ferro, M. P., Mariani, F., Scavetta, E., & Owens, R. M. (2018) · Lab on a Chip · doi:10.1039/c8lc00067k · Cited by 42
Liver spheroids on chips as emerging platforms for drug screening
Huang, D., Zhang, X., Fu, X., Zu, Y., Sun, W., & Zhao, Y. (2021) · Engineered Regeneration · doi:10.1016/j.engreg.2021.10.003 · Cited by 37
Boot, R. C., Roscani, A., van Buren, L., Maity, S., Koenderink, G. H., & Boukany, P. E. (2023) · Lab on a Chip · doi:10.1039/d2lc01060g · Cited by 39
Scaffold-based lung tumor culture on porous PLGA microparticle substrates
Kuriakose, A. E., Hu, W., Nguyen, K. T., & Menon, J. U. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217640 · Cited by 36
Role of circulating tumor cell spheroids in drug resistance
Hamilton, G., & Rath, B. (2019) · Cancer Drug Resistance · doi:10.20517/cdr.2019.47 · Cited by 35
A Framework for Optimizing High-Content Imaging of 3D Models for Drug Discovery
Wardwell-Swanson, J. A., Suzuki, M., Dowell, K. G., Bieri, M., Thoma, E., Agarkova, I., Chiovaro, F., Strebel, S., Buschmann, N., Greve, F., et al. (2020) · SLAS DISCOVERY · doi:10.1177/2472555220929291 · Cited by 34
Use of preclinical models for malignant pleural mesothelioma
Shamseddin, M., Obacz, J., Garnett, M. J., Rintoul, R. C., Francies, H. E., & Marciniak, S. J. (2021) · Thorax · doi:10.1136/thoraxjnl-2020-216602 · Cited by 30
Key aspects for conception and construction of co-culture models of tumor-stroma interactions
Mason, J. E., & Öhlund, D. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1150764 · Cited by 30
Pagnotta, G., Kalia, S., Lisa, L. D., Cicero, A. F. G., Borghi, C., & Focarete, M. L. (2022) · Bioprinting · doi:10.1016/j.bprint.2022.e00218 · Cited by 30
Ma, J., Zhang, X., Liu, Y., Yu, H., Liu, L., Shi, Y., Li, Y., & Qin, J. (2015) · Biotechnology Journal · doi:10.1002/biot.201500183 · Cited by 28
Birchler, A. K., Berger, M., Jäggin, V., Lopes, T., Etzrodt, M., Misun, P. M., Pena-Francesch, M., Schroeder, T., Hierlemann, A. R., & Frey, O. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b03513 · Cited by 27
Jackson, E., McDevitt, T. C., & Lu, H. (2017) · Lab on a Chip · doi:10.1039/c7lc00763a · Cited by 26
Ahmed, M. A. M., Jurczak, K. M., Lynn, N. S., Jr., Mulder, J.-P. S. H., Verpoorte, E. M. J., & Nagelkerke, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-53266-y · Cited by 25
The Applications and Challenges of the Development of In Vitro Tumor Microenvironment Chips
Johnson, A., Reimer, S., Childres, R., Cupp, G., Kohs, T. C. L., McCarty, O. J. T., & Kang, Y. B. (2022) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-022-00755-7 · Cited by 25
Low-cost disposable ALT electrochemical microsensors for in-vitro hepatotoxic assessment
la Cour, J. B., Generelli, S., Barbe, L., & Guenat, O. T. (2016) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2016.01.008 · Cited by 25
Self-citationAzizipour, N., Avazpour, R., Weber, M. H., Sawan, M., Ajji, A., & Rosenzweig, D. H. (2022) · Micromachines · doi:10.3390/mi13040587 · Cited by 23
Gendre, D. A., Ameti, E., Karenovicŝ, W., Perriraz, N., Triponez, F., & Serre‐Beinier, V. (2021) · Oncotarget · doi:10.18632/oncotarget.28134 · Cited by 24
Microfabricated Physiological Models for In Vitro Drug Screening Applications
Ugolini, G. S., Cruz‐Moreira, D., Visone, R., Redaelli, A. C. L., & Rasponi, M. (2016) · Micromachines · doi:10.3390/mi7120233 · Cited by 22
Cancer Stem Cells in Tumor Modeling: Challenges and Future Directions
Dogan, E., Kısım, A., Bati‐Ayaz, G., Kubicek, G. J., Pesen‐Okvur, D., & Miri, A. K. (2021) · Advanced NanoBiomed Research · doi:10.1002/anbr.202100017 · Cited by 22
Aeby, E. A., Misun, P. M., Hierlemann, A. R., & Frey, O. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800054 · Cited by 21
Quintard, C., Tubbs, E., Achard, J., Navarro, F. P., Gidrol, X., & Fouillet, Y. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.113967 · Cited by 21
Tools for manipulation and positioning of microtissues
Vuille-dit-Bille, E., Deshmukh, D., Connolly, S. A., Heub, S., Pasche, S., Dual, J., Tibbitt, M. W., & Weder, G. (2022) · Lab on a Chip · doi:10.1039/d2lc00559j · Cited by 18
Bavoux, M., Kamio, Y., Vigneux-Foley, E., Lafontaine, J., Najyb, O., Refet-Mollof, E., Carrier, J., Gervais, T., & Wong, P. (2021) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2021.01.018 · Cited by 18
A catalogue of treatment and technologies for malignant pleural mesothelioma
Schunselaar, L. M., Quispel-Janssen, J. M. M. F., Neefjes, J., & Baas, P. (2016) · Expert Review of Anticancer Therapy · doi:10.1586/14737140.2016.1162100 · Cited by 13
Inventions and Innovations in Preclinical Platforms for Cancer Research
Moshksayan, K., Kashaninejad, N., & Saidi, M. S. (2018) · Inventions · doi:10.3390/inventions3030043 · Cited by 12
A Review on the Recent Advancement in “Tumour Spheroids-on-a-Chip”
Khot, M. I., Levenstein, M. A., Kapur, N., & Jayne, D. G. (2019) · Journal of Cancer Research and Practice · doi:10.4103/jcrp.jcrp_23_18 · Cited by 13
Juste-Lanas, Y., Guerrero, P. E., Camacho-Gómez, D., Hervás-Raluy, S., García‐Aznar, J. M., & Gómez‐Benito, M. J. (2021) · Journal of Biomechanical Engineering · doi:10.1115/1.4053143 · Cited by 14
Health state dependent multiphoton induced autofluorescence in human 3D in vitro lung cancer model
Kilin, V., Mas, C., Constant, S., Wolf, J., & Bonacina, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-16628-3 · Cited by 12
Organoids as a Model for Precision Medicine in Malignant Pleural Mesothelioma: Where Are We Today?
Gao, Y., Julio, M. K., Peng, R., & Dorn, P. (2022) · Cancers · doi:10.3390/cancers14153758 · Cited by 12
Self-citationEbrahimi, A., Ak, G., Özel, C., İzgördü, H., Ghorbanpoor, H., Hassan, S., Avcı, H., & Metintaş, M. (2024) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.4c00324 · Cited by 10
Sun, M., Han, K., Liu, D., Hu, R., & Liu, W. (2020) · Advanced Materials Technologies · doi:10.1002/admt.202000084 · Cited by 9
Markoski, A., Wong, I. Y., & Borenstein, J. T. (2021) · Frontiers in Medical Technology · doi:10.3389/fmedt.2021.646441 · Cited by 9
Exploring Importance and Regulation of Autophagy in Cancer Stem Cells and Stem Cell-Based Therapies
Rahman, M. A., Apu, E. H., Rakib-Uz-Zaman, S. M., Chakraborti, S., Bhajan, S. K., Taleb, S. A., Shaikh, M. H., Jalouli, M., Harrath, A. H., & Kim, B. (2024) · Cells · doi:10.3390/cells13110958 · Cited by 8
Pournemat, P., Bagheri, Z., Behroodi, E., Soleimani, M., Latifi, H., Mayadani, S., & Yaghoubi-Avini, M. (2024) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2024.116684 · Cited by 8
Harnessing Next‐Generation 3D Cancer Models to Elucidate Tumor‐Microbiome Crosstalk
Buzhor, M. G., Longobardi, G., Kandli, O., Krinsky, A., Avramoff, O., Katyal, A., Salomon, K., Miari, A., Venkert, D., Barnatan, T. T., et al. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202503198 · Cited by 7
Rahman, M. M., Wells, G., Rantala, J., Helleday, T., Muthana, M., & Danson, S. J. (2024) · Expert Review of Clinical Immunology · doi:10.1080/1744666x.2024.2336583 · Cited by 7
Microfluidic perfusion modulates growth and motor neuron differentiation of stem cell aggregates
Jackson, E., Schaefer, A. W., McDevitt, T. C., & Lu, H. (2020) · The Analyst · doi:10.1039/d0an00491j · Cited by 8
Hajari, M. A., Islami, S. B., & Chen, D. (2021) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-021-01426-8 · Cited by 6
Johnson, B., Takahashi, K., & Cheng, Y. Y. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.748444 · Cited by 6
Advanced Human In vitro Models for the Discovery and Development of Lung Cancer Therapies
Constant, S., Huang, S., Wisniewski, L., & Mas, C. (2015) · InTech eBooks · doi:10.5772/60606 · Cited by 5
Tehrani, R. S. H., Hajari, M. A., Ghorbaninejad, Z., & Esfandiari, F. (2021) · Biophysical Reviews · doi:10.1007/s12551-021-00907-5 · Cited by 3
Recent advances in tumors-on-chips
Dogan, E., Salemizadehparizi, F., Çeçen, B., & Miri, A. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85671-3.00006-3 · Cited by 3
3D Models of Mesothelioma in the Study of Mechanisms of Cell Survival
Broaddus, V. C., Follo, C., & Barbone, D. (2017) · Current cancer research · doi:10.1007/978-3-319-53560-9_11 · Cited by 3
The importance of 3D cell culture in drug discovery and development
Demirel, G., & Koltuk, G. (2024) · Frontiers in Life Sciences and Related Technologies · doi:10.51753/flsrt.1488871 · Cited by 2
Lin, C.-H., Leng, Z.-C., Yu, C.-H., Bharali, L. K. D., Lin, C., Mao, B.-H., & Tu, T. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109761 · Cited by 1
Recent advances of microfluidic organ-on-a-chip monitoring strategies
Ebrahimi, A., Benzait, Z., Tomsuk, Ö., Özel, C., Tüfekçioğlu, E., Dordinejad, G. G., Didarian, R., Ghorbanpoor, H., Güzel, F. D., & Avcı, H. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-21519-3.00029-7 · Cited by 1
Microfluidic Tumor-mimicking In Vitro Cell Culture Methods
Chang, H.-C., Tang, C., Lin, H., & Hsu, C. (2017) · International Journal of Automation and Smart Technology · doi:10.5875/ausmt.v6i4.1314 · Cited by 1
In Vitro Tissue Construction for Organ-on-a-Chip Applications
Morimoto, Y., Mori, N., & Takeuchi, S. (2019) · Bioanalysis · doi:10.1007/978-981-13-6229-3_9 · Cited by 1
Micropillar‐based microfluidic device to regulate neurite networks of uniform‐sized neurospheres
Kim, D. E., Lee, J. M., Ahrberg, C. D., Shaker, M. R., Lee, J., Sun, W., & Chung, B. G. (2018) · Electrophoresis · doi:10.1002/elps.201800119 · Cited by 1
Self‐Organization on a Chip: From Nanoscale Actin Assemblies to Tumor Spheroids
Schoenenberger, C., & Pfohl, T. (2016) · Wiley eBooks · doi:10.1002/9783527692057.ch10
Microdevices and Microsystems for Cell Manipulation
Ohta, A. T., & Hu, W. (2017) · MDPI eBooks · doi:10.3390/books978-3-03842-619-6
Microfluidic Platforms for Biofabrication and 3D Tissue Modeling
Nie, M., & Takeuchi, S. (2019) · Royal Society of Chemistry eBooks · doi:10.1039/9781788012683-00049
Morimoto, Y., & Takeuchi, S. (2021) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.39.310
do Amaral, R. L. F. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.60.2020.tde-21092021-055958
Metadata
- Authors
- Ruppen, J., Cortes-Dericks, L., Marconi, E., Karoubi, G., Schmid, R. A., Peng, R., Marti, T. M., & Guenat, O. T.
- Affiliations
- University of Bern (CH)
- Division of General Thoracic Surgery
- Corresponding author
- Guenat, Olivier T.
- Venue
- Lab Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 14
- Issue
- 6
- Pages
- 1198-1205
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2079761432
- Cited by
- 105
- References
- 36
- Citations by year
- 2025: 5 · 2024: 10 · 2023: 4 · 2022: 7 · 2021: 18 · 2020: 10 · 2019: 8 · 2018: 8 · 2017: 11 · 2016: 7 · 2015: 14 · 2014: 3
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Lab on a Chip (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion, cc-by)
- Open Access CRIS of the University of Bern
- Funders
- Novartis Foundation
- École Polytechnique Fédérale de Lausanne
- Novartis Stiftung für Medizinisch-Biologische Forschung
- Bernische Krebsliga
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- malignant pleural mesothelioma, tumor spheroids, chemoresistance, cisplatin, microfluidic perfusion, caspase activity, spheroid viability, drug susceptibility testing, personalized medicine, continuous perfusion
- MeSH terms
- Drug Screening Assays, Antitumor, Humans, Mesothelioma, Pleural Neoplasms, Spheroids, Cellular, Cell Line, Tumor, Microfluidic Analytical Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review